Last 15-17 September 2021, the COE-PSP Knowledge Center ran a webinar on Innovative Thinking for Enhancing Public Sector Productivity, featuring innovation champions, Adrian Ramirez, Leanne Lozanes, Anita S. Gubalane, and Paul Vincent Avecilla.

To know more about the webinar, click here.


Below is a summary and analysis of the responses gathered from the post-webinar survey, highlighting the discussion on the participant’s demographic profile and results of the assessment.

Abstract:

The productivity figures presented in Public Service Output, Inputs and Productivity: Education (ONS 2009) are best estimates using the most recently available data. This supporting article presents further detail on the components of output:

    • Section 2 reports demographic patterns over recent history
    • Section 3 provides extended analyses of quantity by country
    • Section 4 provides extended analyses of quality by country
    • Section 5 provides extended analyses of output by country

Source: Office of National Statistics, United Kingdom

Abstract:

“The productivity figures presented in Public Service Output, Inputs and Productivity: Education (ONS 2009) are best estimates using the most recently available data. Estimates of productivity change need to be interpreted alongside other indicators of inputs, outputs and outcomes. It is unlikely that a single measure of productivity change will ever capture all the costs and benefits of education. The aim of triangulation is to help users understand the productivity estimates by providing additional contextual information, giving a wider picture that has not been shown in the compilation of the education productivity estimates themselves. The Atkinson Review: Final Report – Measurement of Government Output and Productivity for the National Accounts (Atkinson 2005) suggests information on quality of teaching and class size would be useful for helping this process of triangulation, although data may not be suitable for direct inclusion in the National Accounts measure. This evidence is not necessarily expected to corroborate estimates of productivity change, as sources vary in their scale and scope and therefore rarely cover exactly the same thing. For each evidential measure, an indication is given of:

  • the likely degree of influence schools have on each triangulation measure, which is currently not quantified
  • the coherence of changes in each triangulation measure with changes in input, quantity or quality

In the remainder of this article:

section 2 presents a table summarising the triangulation evidence section 3 looks at the quantification of factors affecting children and young people’s outcomes section 4 discusses the scope of wider outcomes for children and young people section 5 presents evidence on the quality of education section 6 highlights evidence on children and young people’s physical, mental and sexual health section 7 looks at evidence on children and young people’s safety section 8 looks at evidence on economic outcomes for children and young people section 9 gives references”